This paper describes the use of sensors in intelligent tutors to detect students' affective states and to embed emotional support. Using four sensors in two classroom experime...
Ivon Arroyo, David G. Cooper, Winslow Burleson, Be...
We investigate how positive, neutral and negative feedback responses from an Intelligent Tutoring System (ITS) influences learners‟ affect and physiology. AutoTutor, an ITS with ...
Payam Aghaei Pour, M. Sazzad Hussain, Omar AlZoubi...
We explored the possibility of predicting learners’ affective states (boredom, flow/engagement, confusion, and frustration) by monitoring variations in the cohesiveness of tutori...
The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
Truly generic and reusable intelligent tutoring software architectures have remained elusive. As part of our effort to develop tutoring systems for simulations of ill-defined doma...
Dave Gomboc, Mark G. Core, H. Chad Lane, Ashish Ka...